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Weiqing Yang 2159bf8b2c
[SPARK-18629][SQL] Fix numPartition of JDBCSuite Testcase 
## What changes were proposed in this pull request?
Fix numPartition of JDBCSuite Testcase.

## How was this patch tested?
Before:
Run any one of the test cases in JDBCSuite, you will get the following warning.
```
10:34:26.389 WARN org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation: The number of partitions is reduced because the specified number of partitions is less than the difference between upper bound and lower bound. Updated number of partitions: 3; Input number of partitions: 4; Lower bound: 1; Upper bound: 4.
```
After: Pass tests without the warning.

Author: Weiqing Yang <yangweiqing001@gmail.com>

Closes #16062 from weiqingy/SPARK-18629.
2016-12-02 11:53:15 +00:00
..
catalyst [SPARK-18658][SQL] Write text records directly to a FileOutputStream 2016-12-01 21:40:49 -08:00
core [SPARK-18629][SQL] Fix numPartition of JDBCSuite Testcase 2016-12-02 11:53:15 +00:00
hive [SPARK-18658][SQL] Write text records directly to a FileOutputStream 2016-12-01 21:40:49 -08:00
hive-thriftserver [SPARK-14914][CORE] Fix Resource not closed after using, for unit tests and example 2016-11-10 10:54:36 +00:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.